Job description
Preferred Qualifications:
10+ years of backend software engineering in Java/Spring
3+ years of DevOps, SRE, or infrastructure engineering experience
Experience with banking or financial services domain (profiles, accounts, entitlements, audit)
Familiarity with APIGEE API gateway or similar
Hands-on experience with Helm charts in production environments
Experience with Kubernetes in production (AKS, EKS, or GKE)
Knowledge of GitOps practices and tools (ArgoCD, Flux)
Experience with Databricks for audit reporting or analytics
Knowledge of PowerShell for operational scripting
Contributions to open-source projects or published technical writing
Experience with incident response and RCA (root cause analysis) documentation
Familiarity with container security and image scanning tools
Key Responsibilities:
Design & implement REST APIs that maintain backward compatibility while evolving the entitlements domain model
Orchestrate complex business workflows across multiple external systems (APIGEE, Interpose SOAP passthrough, Azure services)
Own integration boundaries with downstream systems, including error handling, retry logic, idempotency, and response translation
Build and maintain data persistence layers using Spring Data JPA / Hibernate against Azure SQL, with careful attention to transaction semantics and audit trails
Implement caching strategies using Redis/Redisson for performance-critical paths
Write production-grade tests that verify behavior, not just coverage unit, service, and resource-layer tests
Design and maintain Helm charts for Kubernetes deployments across multiple environments
Implement CI/CD pipelines and deployment automation using modern DevOps practices
Manage containerization with Docker, optimize images, and ensure security best practices
Investigate and resolve production incidents using Dynatrace, DQL queries, and log analysis
Document design decisions in architecture records and implementation plans; maintain alignment between code and documentation
Mentor junior engineers on domain knowledge, testing practices, and architectural patterns specific to this system
10+ years of backend software engineering in Java/Spring
3+ years of DevOps, SRE, or infrastructure engineering experience
Experience with banking or financial services domain (profiles, accounts, entitlements, audit)
Familiarity with APIGEE API gateway or similar
Hands-on experience with Helm charts in production environments
Experience with Kubernetes in production (AKS, EKS, or GKE)
Knowledge of GitOps practices and tools (ArgoCD, Flux)
Experience with Databricks for audit reporting or analytics
Knowledge of PowerShell for operational scripting
Contributions to open-source projects or published technical writing
Experience with incident response and RCA (root cause analysis) documentation
Familiarity with container security and image scanning tools
Key Responsibilities:
Design & implement REST APIs that maintain backward compatibility while evolving the entitlements domain model
Orchestrate complex business workflows across multiple external systems (APIGEE, Interpose SOAP passthrough, Azure services)
Own integration boundaries with downstream systems, including error handling, retry logic, idempotency, and response translation
Build and maintain data persistence layers using Spring Data JPA / Hibernate against Azure SQL, with careful attention to transaction semantics and audit trails
Implement caching strategies using Redis/Redisson for performance-critical paths
Write production-grade tests that verify behavior, not just coverage unit, service, and resource-layer tests
Design and maintain Helm charts for Kubernetes deployments across multiple environments
Implement CI/CD pipelines and deployment automation using modern DevOps practices
Manage containerization with Docker, optimize images, and ensure security best practices
Investigate and resolve production incidents using Dynatrace, DQL queries, and log analysis
Document design decisions in architecture records and implementation plans; maintain alignment between code and documentation
Mentor junior engineers on domain knowledge, testing practices, and architectural patterns specific to this system
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